Aviation Industry does use AI or rather data science and machine learning to automate or speed up operations. So, in this article, we will see how Aviation Industry uses Data Science with the help of real-life use cases.
Understanding traveler demand for specific city pairs and pricing flights are among the main problems airlines solve to survive. To do that carriers must consider thousands of factors when analyzing data. While analysts still can use traditional statistical approaches.
Data science allows for more sophisticated ways to accomplish demand analysis. IATA suggests that airlines can use traveler behavioral data, abandon searches on the online travel agents, and metasearch sites or social media chatter can help define leisure demand.
Data from professional networking sites recruitment and procurement activities may signal emerging business travel destinations. In a 2017 showcase for airlines, Skyscanner used machine learning-based clustering to the group about 50,000 origins and destinations by similarities. They considered about 30 parameters like the month of travel, the time a reservation is made, how long people stay at the destination, and many more.
Some events like festivals conferences or expos, drive short-term spikes in demand so revenue teams can rely on event data to raise fares for specific routes and dates to benefit from rising demand. Aviation ranked by Predict HQ uses ranking algorithms that match historical flight bookings with event data to reveal how much a given event may affect traveler demand.
Some people never order airplane meals so the airline supply management specialists must estimate how many snacks and drinks they onboard to deliver to food eaters without being wasteful. EasyJet CEO John Lundgren tossed the data science team to analyze the demand for food items.
Depending on a route the team learned that demand for items on a 6:00 a.m. flight to Edinburgh is very different from that of a Friday night flight to Ibiza. So, the jet was throwing three fresh food items in the trash after each flight or nearly 800,000 annually. John Lundgren noted that such a mistake cost the carrier millions of pounds. Eventually, data scientists created a new algorithm for demand prediction the insights helped the airline save a significant amount of money and do the right thing for the environment.
Carbon emissions increased by 32% over the past five years. That’s why aircraft manufacturers and airlines are looking for ways to improve their fuel efficiency. In 2018 airlines spent 23.5% of total expenses on jet fuel. to become more fuel-efficient an airline must accurately predict how much fuel it needs for every scheduled flight to supply a plane the best scenario is to have a single analytical tool.
Southwest Airlines worked on such a solution in its fuel consumption project. The team developed 8 predictive models that included time series algorithms and neural networks the system could produce 9600 fuel consumption forecasts for each month. It generates forecasts for a 12-month horizon and considers such influencing factors as fuel price, number of trips, and time to make predictions much more accurate.
Airlines use this biometric technology as a boarding option. The equipment scans travelers’ faces and matches them with photos stored in border control agency databases. These can be photos from passports visas or other travel documents.
Here’s how it works, travelers first gain themselves and then their passports at self-service then proceed to check-in their backs with a scanner. This technology allows for creating a seamless travel experience that’s faster and safer. Delta Airlines opened a biometric terminal at the Atlanta Airport.
In the summer of 2019, Delta introduced facial recognition in another Atlanta Airport terminal as well as in Minneapolis, Detroit and other airports that are 49 more gates equipped with facial recognition software travelers seem to like the new boarding option. Delta surveyed customers at Atlantic terminal and discovered for instance that 70% of them found the biometric boarding experience appealing and 72% favored it over the traditional one.
Sometimes we have to wait at the gate to get on a plane when an aircraft isn’t ready for boarding and departure maybe a catering truck is late or the cleaning team is busy with a different jet. In 2018 U.S. passenger airlines were losing on an average of $74.29 per minute, due to delays. The US Department of Transportation calculated that delays caused by plane servicing accounted for 5.8 percent of all delayed flights.
Assaia, a startup that provides software that processes video streams from airfields using image recognition algorithms. Neural networks that power the software recognize objects’ movements and interactions. Airline employees can monitor in real-time how the plane is being prepared for the next flight including fueling, cargo loading, or catering delivery so they can decide whether they need to take measures or not.
Lufthansa systems address the same problem with its deep turnaround solution. The IT service provider for the aviation industry opened its subsidiary zero-g to work on its AI initiatives. The solution also analyzes video data and updates users on what’s going on during airplane services in real-time airlines.
Use of data science and machine learning to evaluate passenger demand across different routes, use data insights to optimize aircraft ground handling and fuelling or redefine passengers airport experience with biometric boarding with new distribution technologies we may expect airlines to start personalizing offers for individual travelers based on their preferences and willingness to pay.
So, these were the real-time use cases in the Aviation industry. Hope you liked it!
Thank You for reading!
Connect with me on:
Twitter: https://twitter.com/aree_yarr_sharu
Linkedin: https://t.co/g0A8rcvcYo?amp=1
The media shown in this article on Data Science in Aviation Industry are not owned by Analytics Vidhya and is used at the Author’s discretion.
Applications of Artificial Intelligence and Dat...
How AI Supports Logistics Industry and Transpor...
Flight Price Prediction Using Machine Learning
Quick Guide to AI and ML Universe for Business ...
Interesting NLP Use Cases Every Data Science En...
11 Amazing Applications / Uses of Data Science ...
Real-Life Applications of Data Science in Educa...
Data Science Use Cases in Retail Industry
An Introductory Guide to Big Data Analytics
Role of AI in Software Development
We use cookies essential for this site to function well. Please click to help us improve its usefulness with additional cookies. Learn about our use of cookies in our Privacy Policy & Cookies Policy.
Show details
This site uses cookies to ensure that you get the best experience possible. To learn more about how we use cookies, please refer to our Privacy Policy & Cookies Policy.
It is needed for personalizing the website.
Expiry: Session
Type: HTTP
This cookie is used to prevent Cross-site request forgery (often abbreviated as CSRF) attacks of the website
Expiry: Session
Type: HTTPS
Preserves the login/logout state of users across the whole site.
Expiry: Session
Type: HTTPS
Preserves users' states across page requests.
Expiry: Session
Type: HTTPS
Google One-Tap login adds this g_state cookie to set the user status on how they interact with the One-Tap modal.
Expiry: 365 days
Type: HTTP
Used by Microsoft Clarity, to store and track visits across websites.
Expiry: 1 Year
Type: HTTP
Used by Microsoft Clarity, Persists the Clarity User ID and preferences, unique to that site, on the browser. This ensures that behavior in subsequent visits to the same site will be attributed to the same user ID.
Expiry: 1 Year
Type: HTTP
Used by Microsoft Clarity, Connects multiple page views by a user into a single Clarity session recording.
Expiry: 1 Day
Type: HTTP
Collects user data is specifically adapted to the user or device. The user can also be followed outside of the loaded website, creating a picture of the visitor's behavior.
Expiry: 2 Years
Type: HTTP
Use to measure the use of the website for internal analytics
Expiry: 1 Years
Type: HTTP
The cookie is set by embedded Microsoft Clarity scripts. The purpose of this cookie is for heatmap and session recording.
Expiry: 1 Year
Type: HTTP
Collected user data is specifically adapted to the user or device. The user can also be followed outside of the loaded website, creating a picture of the visitor's behavior.
Expiry: 2 Months
Type: HTTP
This cookie is installed by Google Analytics. The cookie is used to store information of how visitors use a website and helps in creating an analytics report of how the website is doing. The data collected includes the number of visitors, the source where they have come from, and the pages visited in an anonymous form.
Expiry: 399 Days
Type: HTTP
Used by Google Analytics, to store and count pageviews.
Expiry: 399 Days
Type: HTTP
Used by Google Analytics to collect data on the number of times a user has visited the website as well as dates for the first and most recent visit.
Expiry: 1 Day
Type: HTTP
Used to send data to Google Analytics about the visitor's device and behavior. Tracks the visitor across devices and marketing channels.
Expiry: Session
Type: PIXEL
cookies ensure that requests within a browsing session are made by the user, and not by other sites.
Expiry: 6 Months
Type: HTTP
use the cookie when customers want to make a referral from their gmail contacts; it helps auth the gmail account.
Expiry: 2 Years
Type: HTTP
This cookie is set by DoubleClick (which is owned by Google) to determine if the website visitor's browser supports cookies.
Expiry: 1 Year
Type: HTTP
this is used to send push notification using webengage.
Expiry: 1 Year
Type: HTTP
used by webenage to track auth of webenagage.
Expiry: Session
Type: HTTP
Linkedin sets this cookie to registers statistical data on users' behavior on the website for internal analytics.
Expiry: 1 Day
Type: HTTP
Use to maintain an anonymous user session by the server.
Expiry: 1 Year
Type: HTTP
Used as part of the LinkedIn Remember Me feature and is set when a user clicks Remember Me on the device to make it easier for him or her to sign in to that device.
Expiry: 1 Year
Type: HTTP
Used to store information about the time a sync with the lms_analytics cookie took place for users in the Designated Countries.
Expiry: 6 Months
Type: HTTP
Used to store information about the time a sync with the AnalyticsSyncHistory cookie took place for users in the Designated Countries.
Expiry: 6 Months
Type: HTTP
Cookie used for Sign-in with Linkedin and/or to allow for the Linkedin follow feature.
Expiry: 6 Months
Type: HTTP
allow for the Linkedin follow feature.
Expiry: 1 Year
Type: HTTP
often used to identify you, including your name, interests, and previous activity.
Expiry: 2 Months
Type: HTTP
Tracks the time that the previous page took to load
Expiry: Session
Type: HTTP
Used to remember a user's language setting to ensure LinkedIn.com displays in the language selected by the user in their settings
Expiry: Session
Type: HTTP
Tracks percent of page viewed
Expiry: Session
Type: HTTP
Indicates the start of a session for Adobe Experience Cloud
Expiry: Session
Type: HTTP
Provides page name value (URL) for use by Adobe Analytics
Expiry: Session
Type: HTTP
Used to retain and fetch time since last visit in Adobe Analytics
Expiry: 6 Months
Type: HTTP
Remembers a user's display preference/theme setting
Expiry: 6 Months
Type: HTTP
Remembers which users have updated their display / theme preferences
Expiry: 6 Months
Type: HTTP
Used by Google Adsense, to store and track conversions.
Expiry: 3 Months
Type: HTTP
Save certain preferences, for example the number of search results per page or activation of the SafeSearch Filter. Adjusts the ads that appear in Google Search.
Expiry: 2 Years
Type: HTTP
Save certain preferences, for example the number of search results per page or activation of the SafeSearch Filter. Adjusts the ads that appear in Google Search.
Expiry: 2 Years
Type: HTTP
Save certain preferences, for example the number of search results per page or activation of the SafeSearch Filter. Adjusts the ads that appear in Google Search.
Expiry: 2 Years
Type: HTTP
Save certain preferences, for example the number of search results per page or activation of the SafeSearch Filter. Adjusts the ads that appear in Google Search.
Expiry: 2 Years
Type: HTTP
Save certain preferences, for example the number of search results per page or activation of the SafeSearch Filter. Adjusts the ads that appear in Google Search.
Expiry: 2 Years
Type: HTTP
Save certain preferences, for example the number of search results per page or activation of the SafeSearch Filter. Adjusts the ads that appear in Google Search.
Expiry: 2 Years
Type: HTTP
These cookies are used for the purpose of targeted advertising.
Expiry: 6 Hours
Type: HTTP
These cookies are used for the purpose of targeted advertising.
Expiry: 1 Month
Type: HTTP
These cookies are used to gather website statistics, and track conversion rates.
Expiry: 1 Month
Type: HTTP
Aggregate analysis of website visitors
Expiry: 6 Months
Type: HTTP
This cookie is set by Facebook to deliver advertisements when they are on Facebook or a digital platform powered by Facebook advertising after visiting this website.
Expiry: 4 Months
Type: HTTP
Contains a unique browser and user ID, used for targeted advertising.
Expiry: 2 Months
Type: HTTP
Used by LinkedIn to track the use of embedded services.
Expiry: 1 Year
Type: HTTP
Used by LinkedIn for tracking the use of embedded services.
Expiry: 1 Day
Type: HTTP
Used by LinkedIn to track the use of embedded services.
Expiry: 6 Months
Type: HTTP
Use these cookies to assign a unique ID when users visit a website.
Expiry: 6 Months
Type: HTTP
These cookies are set by LinkedIn for advertising purposes, including: tracking visitors so that more relevant ads can be presented, allowing users to use the 'Apply with LinkedIn' or the 'Sign-in with LinkedIn' functions, collecting information about how visitors use the site, etc.
Expiry: 6 Months
Type: HTTP
Used to make a probabilistic match of a user's identity outside the Designated Countries
Expiry: 90 Days
Type: HTTP
Used to collect information for analytics purposes.
Expiry: 1 year
Type: HTTP
Used to store session ID for a users session to ensure that clicks from adverts on the Bing search engine are verified for reporting purposes and for personalisation
Expiry: 1 Day
Type: HTTP
Cookie declaration last updated on 24/03/2023 by Analytics Vidhya.
Cookies are small text files that can be used by websites to make a user's experience more efficient. The law states that we can store cookies on your device if they are strictly necessary for the operation of this site. For all other types of cookies, we need your permission. This site uses different types of cookies. Some cookies are placed by third-party services that appear on our pages. Learn more about who we are, how you can contact us, and how we process personal data in our Privacy Policy.
Edit
Resend OTP
Resend OTP in 45s
Amazing and useful content. Thanks for sharing!